Question
Provide a short reasoning for each part a. Determine whether following statements are true or false. 1. Regression through PRF provides best linear approximation for
Provide a short reasoning for each part
a. Determine whether following statements are true or false.
1. Regression through PRF provides best linear approximation for relationship between
two random variables x and y 2. Regression through PRF provides causal interpretation between two random variables x
and y
b. Determine whether this statement is true or false.
Larger variation in a regressor leads to smaller variance of OLS estimator for coefficient of that regressor.
c. Why asymptotic distribution of OLS estimators is a normal distribution? (in other words, which
theorem delivers the asymptotic normality?) Furthermore, what is the additional assumption that is needed to deliver normality for finite sample distribution of OLS estimators?
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